Full Citation
Title: A novel framework for assessing metadata quality in epidemiological and public health research settings
Citation Type: Miscellaneous
Publication Year: 2016
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Abstract: Metadata are critical in epidemiological and public health research. However, a lack of biomedical metadata quality frameworks and limited awareness of the implications of poor quality metadata renders data analyses problematic. In this study, we created and evaluated a novel framework to assess metadata quality of epidemiological and public health research datasets. We performed a literature review and surveyed stakeholders to enhance our understanding of biomedical metadata quality assessment. The review identified 11 studies and nine quality dimensions; none of which were specifically aimed at biomedical metadata. 96 individuals completed the survey; of those who submitted data, most only assessed metadata quality sometimes, and eight did not at all. Our framework has four sections: a) general information; b) tools and technologies; c) usability; and d) management and curation. We evaluated the framework using three test cases and sought expert feedback. The framework can assess biomedical metadata quality systematically and robustly.
Url: https://arxiv.org/ftp/arxiv/papers/1608/1608.06079.pdf
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Authors: McMahon, Christiana; Denaxas, Spiros
Publisher: Farr Institute of Health Informatics Research
Data Collections: IPUMS USA
Topics: Health, Methodology and Data Collection
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